jaysingh retweeted
i think almost everyone in SF would benefit from having spent a year or two inside a large NYC financial institution. not a good idea to do it now, but talk to friends who have, absorb their stories and context. the impact of technology comes from making contact with reality.
jaysingh retweeted
Best way to understand what's happening in software is to understand what happened in media.
With internet & platforms, the cost of creation went to zero. Supply skyrocketed.
Consumers had more choice than ever before, which created a long-tail of niches, introduced a new standard for "good", and made trusted distribution the most valuable currency.
For agentic systems founders and dev tools founders:
People do not want to pay for raw markdown and they shouldn't have to.
But they may pay for orchestration, hosting, updates, collaboration, portability, analytics, and managed execution.
These can be great businesses.
jaysingh retweeted
I'm starting to realize that 4-5 key people will change the trajectory of your entire career or business.
Some archetypes this can look like:
- A fantastic boss/manager
- A champion at a first customer that opens doors for you
- A colleague that vouches for you to get a job that's out of your league
- A mentor that gives you honest feedback of your current business and what you need to change
Finding those 4-5 people is way more important than being popular, having followers, etc. Find whatever spaces that will have the highest likelihood of those 4-5 people being there.
jaysingh retweeted
One of my best engineers just showed me how to set up OpenClaw securely & without a Mac Mini.
Here's his step-by-step:
1) Spin up a VPS on Hetzner
It's a virtual server in the cloud. basically a computer you rent for $5-10/month. Pick 8GB RAM, Ubuntu, US East. Takes 2 minutes.
2) Install @Tailscale
This makes your server invisible to the public internet. Think of it like moving from a house on Google Maps into a gated community where only your devices can get in. Without this, bots start attacking your server within seconds of it going live.
3) Harden the server
SSH keys only. Firewall. Intrusion prevention. Auto security updates. CJ actually uses AI to red team his own servers. Tells it to try and break in, then patches whatever it finds.
4) Install @openclaw and run the onboarding.
You pick your model provider, connect Telegram via BotFather, and configure hooks that give your agent long-term memory. The hooks auto-save sessions and context so the agent gets smarter over time.
5) Set up the gateway
This is the piece that makes it actually powerful. It's a message bus that lets your main agent talk to sub-agents, receive messages from Telegram/Discord/Slack, and orchestrate everything. this is what keeps it running 24/7.
6) Hatch your claw and start training it
Dump as much info about yourself as possible. tell it your preferences, your workflows, your tools. CJ's agent monitors his email, Slack, and manages his to-do list autonomously.
Watch the video for the full break-down & follow @seejayhess for more AI engineering sauce.
jaysingh retweeted
In 2006, every section of Craigslist was a $1b marketplace startup waiting to happen.
In 2026, every section of PWC's website is a $10b AI startup waiting to happen.
jaysingh retweeted
Learning from founders who've walked the path before me is one of the best hacks I've found.
I'm building an AI consultancy to help companies implement custom AI solutions. I wanted to learn from other founders in the space, so I started browsing LinkedIn.
I came across @JSingh_08 (founder of Casper Studios) and really liked his content. And i saw that we had Pete Huang as a mutual connection.
So I pulled out my phone and texted Pete on the spot
11:28am - My text went out asking for an intro
11:28am (30 seconds later) - Pete responded (what a legend)
11:35am - Pete introduced us via text
11:39am - I hopped on a quick call with Jay before his next meeting at noon
That 20-minute conversation was invaluable. Jay helped me speed run so many things I would've had to figure out the hard way:
- positioning an AI agency
- tradeoffs of working with different customer segments
- customer acquisition channels & strategies
- learnings from hiring & building a team
The craziest part was that this all happened within the span of 32 minutes from when I first texted Pete
Of course, this couldn't have happened without Jay being generous with his time and learnings, or Pete being the kickass friend that he is.
But here's my broader point:
You miss 100% of the shots you don't take. If I hadn't texted Pete, none of this would have happened.
So go take that shot
You're probably one DM/email/text away from a world of knowledge
jaysingh retweeted
This is why my bet is on AI services.
My AI investment thesis is that every AI application startup is likely to be crushed by rapid expansion of the foundational model providers.
App functionality will be added to the foundational models' offerings, because the big players aren't slow incumbents (it is wrong to apply the analogy of "fast startup, slow incumbent" here), they are just big. Far more so than with any other prior new technology, there is a massive and fast-moving wave that obsoletes every new app almost as fast as it can be invented. There is almost no time to build a company and scale it.
There are two ways AI application startup founders can make money:
- Make a flash-in-the-pan app that generates a ton of cash and bank the cash (my estimate is that you have about 12-18 months cashflow generation)
- Make a good enough app that you get acquired by one of the big players for sufficient equity
The situation is highly unstable - we don't know if it's going to crash or go to the moon but both scenarios make it very unlikely that any AI application startup will independently become a generational supercompany (baseline odds are low to begin with).
The best odds are finding an application niche in a highly specialized field with extremely unique and specific data barriers, ideally ones relating to real atoms (hardware or world-related) data and not software/finance.
jaysingh retweeted
AI-built personal software is changing the creator economy.
When you hit an obstacle in your business now you can overcome it with an app, you built yourself, with a few prompts.
This isn't some future state. It's what is possible today.
Here's how:
jaysingh retweeted
One of the biggest AI trends I’m excited about is personal apps
Right now, anyone can create an app tailored to their specific needs, all without hiring a developer or designer
As a product design studio founder, should I be worried about this?
Not at all
The more people build things, the more they’ll start to appreciate the craft behind great software
When you’ve tried to do it yourself, you realize how much thought, skill, and care goes into design
It’s like cooking. You might make a decent meal at home, but once you’ve done it yourself, you start to respect what it takes to be a top chef
We need more builders. Not just because they’ll need professionals eventually, but because building creates understanding
And that’s how we all raise the bar for what great software can be
jaysingh retweeted
1/ Big product update at OffDeal 🚀
In the past 60 days, over 1,000 small business owners used our tool to find 250,000+ potential buyers! 🤯
A thread on how we got there 🧵
jaysingh retweeted
If you still think that Wall Street, Hollywood, or DC run the world, it’s time to update your mental model.
jaysingh retweeted
So I've finally started to study the whole TikTok viral mobile app game and here are my conclusions and notes:
- There are two paths you can take: either you keep creating content on your own and see what sticks, then you rinse and repeat, or you play the influencer game and reach out to hundreds of them and pay for their promotion. You can also combine both.
- It's a numbers game; guys who have success with it are relentless in posting a lot and DMing a lot. They're working hard.
- Not every app has the potential to go viral; apps that solve existing, boring issues with a "wow effect" (mostly by adding AI features) have the highest chance of becoming viral.
- Now is a great time to produce those apps; we live in an X-hackers bubble, and most people are unaware of all the AI features popping up weekly. There is a lot of money to be made, but personally I dislike apps that focus solely on generating revenue without producing any value (AI often hallucinates, and the results can be very inaccurate or even dangerous).
- TikTok/IG is a Gen-Z game; they spend the most time there, so inherently, apps that address their issues have the highest chance of going viral.
- What are those? Young people care more about their looks than older ones, either due to lower self-esteem or simply because they're looking for a partner (dating). That's why apps like Umax (look improvement), Cal AI (calorie tracking—weight loss or gain), and RizzGPT (help with dating) grew like crazy. It helps that their creators are Gen-Z themselves so they understand those issues first-hand.
- I think it's like this new marketing channel that pops up every few years and it's cheaper and more efficient than all the others because it's not saturated yet.
- My take is that everyone celebrates high revenue and big download numbers (short-term), but what's more important is the long-term game. The universal truth is that if you generate high enough traffic and convert it, you will make money, which has a place here for many apps. But another universal truth about B2C is that it has naturally high churn, so the question is if those apps will be able to survive long-term once the traffic goes down and more competition shows up.
jaysingh retweeted
[7] @gregisenberg is my soulmate. I've never seen a human that has a more similar vision of the future to me. I'd say: he is the Nostradamus of this decade. Reading his texts is an unfair advantage for makers.
teapawt.net/gregisenberg/status/17…
Someone will make $10M in 2024 with this exact playbook building cash-flowing internet businesses
The playbook they'll use (save this):
1) Find underserved niche
I use tools like Etsyhunt, Google Trends, TikTok Creative Center, Redditlist, etc to do that. These spy tools are critical intel.
This is the find your "that's too small of a niche" phase.
2) Build audience and community to drive growth
Design a content engine so good it's your pride and joy.
This is the "put billboards on the internet" phase
3) Build a product (SaaS, software, agency, paid community, newsletter etc) with a beautiful brand
The impact of design is serious. I use @DispatchDesign for my new ideas.
This is the "put buy buttons on the internet phase"
4) Use AI agents and global workforce to fulfill product
AI agents or "artificial employees" as I call them aren't prime time yet. But they'll be able to
This is the operational excellence phase
5) Hire operator and find start with step 1 again
Hire from within your community ideally. They'll get your niche better than an outsider.
This is the "scale me out of a job please" phase.
Usually, your business needs to be doing $100k+ profit per year to hire yourself out.
Most people do all 5 steps at once.
Being very careful to do one at a time is the key.
250,000+ people were laid off in 2023. Anyone can build one of these businesses as a side project.
I started my holding company as a side project 3+ years ago.
Now, we run 6 companies and I turned down multiple 8 figures offers to buy my holdco. In 2024, we'll do mid 7 figures of profit.
This is multipreneurship. Multiple teams, multiple operators, multiple P&Ls.
The future of entrepreneurship is multipreneurship.
Save these 5 steps so you have them when you need it.
Sharing this playbook in case it's helpful to someone.
Enjoy!
If this thread fired you up, you'll want more of this. Follow me @gregisenberg for more
Go get 'em my multipreneurs....
jaysingh retweeted
I have spent the last 4 years towards developing a practical philosophy of life.
This has entailed spending a lot of time reading about Mindfulness, Buddhism, The Bhagavad Gita and Stoicism.
There is a lot to share about my learnings but the big one is about acceptance and control.
All these religions and philosophies ask you to focus on the things you can control and accept what you cannot. They also point out (before modern sports did) that you should not focus on the result — just the process.
At first, this felt a bit emasculating.
I liked being in control. My entire identity as a successful engineer+executive+founder+investor was predicated on having the answers and being in control.
But I also realized that it was the most limiting thing in my life.
Because my accepting the limits of my control, I could actually focus on the variables that I could change.
I think there is a really important lesson here for founders of startups as well.
As the founder of a nascent company, there is a lot (almost everything) that is out of your control.
You cannot control the macro, you cannot control the competitors, you cannot massage the market etc.
But you can control quite a bit — the quality of the product. The people you hire. Your inner equanimity. Your peak physical health.
So when founders ask me for meta-advice, the thing I tell them is to let go and just focus on the process. Enjoy the journey. The ups and downs and so on.
The world will rotate. The gods will laugh. But you can show up the way you want to. That is entirely in your control.
jaysingh retweeted
I'm in the top 2% of users on StackOverflow. My content there has been viewed by over 1.7M people. And it's unlikely I'll ever write anything there again.
Which may be a much bigger problem than it seems. Because it may be the canary in the mine of our collective knowledge.
A canary that signals a change in the airflow of knowledge: from human-human via machine, to human-machine only. Don’t pass human, don’t collect 200 virtual internet points along the way.
StackOverflow is *the* repository for programming Q&A. It has 100M users & saves man-years of time & wig-factories-worth of grey hair every single day.
It is driven by people like me who ask questions that other developers answer. Or vice-versa. Over 10 years I've asked 217 questions & answered 77. Those questions have been read by millions of developers & had tens of millions of views.
But since GPT4 it looks less & less likely any of that will happen; at least for me. Which will be bad for StackOverflow. But if I'm representative of other knowledge-workers then it presents a larger & more alarming problem for us as humans.
What happens when we stop pooling our knowledge with each other & instead pour it straight into The Machine? Where will our libraries be? How can we avoid total dependency on The Machine? What content do we even feed the next version of The Machine to train on?
When it comes time to train GPTx it risks drinking from a dry riverbed. Because programmers won't be asking many questions on StackOverflow. GPT4 will have answered them in private. So while GPT4 was trained on all of the questions asked before 2021 what will GPT6 train on?
This raises a more profound question. If this pattern replicates elsewhere & the direction of our collective knowledge alters from outward to humanity to inward into the machine then we are dependent on it in a way that supercedes all of our prior machine-dependencies.
Whether or not it "wants" to take over, the change in the nature of where information goes will mean that it takes over by default.
Like a fast-growing Covid variant, AI will become the dominant source of knowledge simply by virtue of growth. If we take the example of StackOverflow, that pool of human knowledge that used to belong to us - may be reduced down to a mere weighting inside the transformer.
Or, perhaps even more alarmingly, if we trust that the current GPT doesn't learn from its inputs, it may be lost altogether. Because if it doesn't remember what we talk about & we don't share it then where does the knowledge even go?
We already have an irreversible dependency on machines to store our knowledge. But at least we control it. We can extract it, duplicate it, go & store it in a vault in the Arctic (as Github has done).
So what happens next? I don't know, I only have questions.
None of which you'll find on StackOverflow.
(I write on AI from a technical and product perspective. If you find that interesting then please do follow me for more)
jaysingh retweeted
something very strange about people writing bullet points, having ChatGPT expand it to a polite email, sending it, and the sender using ChatGPT to condense it into the key bullet points






























